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  • Fall 2023

    Cui, Yihao

    functionalities such as pattern recognition, and inference calculations with improved performance through experience and iterative training cycles. Inspired by the structural organization of a biological brain, ANNs consist of interconnected layers of artificial neurons, or nodes, where input signals are weighted

    concepts allow for specified dispersion engineering required for low insertion loss (< 0.3dB) and compact footprint (Lπ = 5 − 20µm) designs. Such non-volatile phase-shifters can be embedded within a cascaded MZI mesh to implement a programmable zero static energy consumption matrix vector multiplication

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